Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A computing platform, comprising: at least one processor; a communication interface communicatively coupled to the at least one processor; and memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to: receive, via the communication interface, first data associated with a first telephone call made from a first user computing device; analyze the first data to generate a call fingerprint for the first telephone call; establish, via the communication interface, a connection to at least one call authentication computing platform; with the connection established, transmit the call fingerprint to the at least one call authentication computing platform; with the connection established, receive at least one call security response from the at least one call authentication computing platform, wherein the at least one call security response comprises data including an identification of a first user of the first user computing device and a record of any previous calls made from the first user computing device; based on the call fingerprint and the at least one call security response, determine a call security score for the first telephone call made by the first user computing device; generate a first notification of the call security score to a call handling system; and transmit, via the communication interface, the first notification to the call handling system.
This invention relates to a computing platform designed to enhance call authentication and security by analyzing telephone calls and generating a call security score. The system addresses the problem of verifying the legitimacy of incoming calls and identifying potential fraud or unauthorized use of user devices. The computing platform includes at least one processor, a communication interface, and memory storing executable instructions. The platform receives call data from a user device, such as metadata or audio signatures, and processes this data to generate a unique call fingerprint. This fingerprint is transmitted to an external call authentication service, which responds with security-related information, including the caller's identity and a history of previous calls from the same device. The platform then evaluates the call fingerprint and the authentication response to compute a call security score, which quantifies the likelihood of the call being legitimate. This score is transmitted to a call handling system, enabling it to make informed decisions about call routing, blocking, or flagging suspicious activity. The system improves call authentication by leveraging real-time analysis and historical call data to detect anomalies and unauthorized usage.
2. The computing platform of claim 1 , wherein the at least one call authentication computing platform comprises a computing device configured to determine if the first telephone call is being spoofed by evaluating a first amount of time between the first telephone call and a second telephone call, wherein the first telephone call is made with the first user computing device from a first location and the second telephone call is made with the first user computing device from a second location.
This invention relates to a computing platform for detecting spoofed telephone calls. The problem addressed is the increasing prevalence of caller ID spoofing, where malicious actors manipulate caller identification information to deceive recipients. The solution involves a computing platform that analyzes the timing and location of telephone calls to identify potential spoofing attempts. The system includes a call authentication computing platform that evaluates whether a first telephone call is spoofed by examining the time interval between the first call and a second call made from the same user device. The first call originates from a first location, while the second call originates from a second location. By assessing the time difference between these calls, the system can detect anomalies that suggest spoofing. For example, if two calls are placed from different locations within an implausibly short timeframe, it may indicate that the caller ID information has been falsified. The computing platform is designed to process call metadata, including timestamps and geographic data, to determine the likelihood of spoofing. This approach helps identify fraudulent calls by leveraging temporal and spatial inconsistencies, enhancing security for telecommunications networks and users. The system may integrate with existing telephony infrastructure to provide real-time or near-real-time authentication of call origins.
3. The computing platform of claim 2 , wherein determining if the first telephone call is being spoofed further comprises: determining a minimum amount of time for travelling between the first location and the second location; and determining that the first telephone call is being spoofed when the first amount of time is less than the minimum amount of time.
This invention relates to detecting spoofed telephone calls by analyzing the physical feasibility of call origination and destination locations. The system identifies a first telephone call originating from a first location and terminating at a second location. It calculates the first amount of time required for a caller to physically travel between these locations. The system then determines a minimum feasible travel time based on known transportation methods (e.g., driving, flying). If the calculated travel time is less than this minimum threshold, the call is flagged as spoofed, indicating an impossible or highly improbable travel scenario. The invention also involves verifying caller identity by cross-referencing the first location with a registered location associated with the caller's telephone number. If these locations do not match, the call is further flagged as suspicious. The system may also analyze historical call patterns to detect anomalies, such as calls originating from multiple distant locations within a short timeframe. This approach enhances fraud detection by leveraging geospatial and temporal analysis to identify inconsistencies in call metadata.
4. The computing platform of claim 1 , wherein analyzing the first data comprises: identifying whether the first telephone call was made from a mobile phone or landline, a location from which the first telephone call was made, and a phone number from which the first telephone call was made; and setting an initial call security level based on the identifying.
This invention relates to computing platforms that analyze telephone calls to determine security levels. The system addresses the problem of identifying potential security risks in telephone communications by evaluating call characteristics to assess trustworthiness. The computing platform processes call data to determine whether a call originated from a mobile phone or landline, the geographic location of the caller, and the caller's phone number. Based on this analysis, the system assigns an initial security level to the call, which can be used to determine further actions such as authentication requirements or access permissions. The security level may be adjusted dynamically based on additional factors like call history, user behavior, or network conditions. This approach helps mitigate risks associated with unauthorized or suspicious calls by providing a preliminary assessment of call legitimacy before further processing or user interaction occurs. The system may integrate with telecommunication networks, enterprise security systems, or customer service platforms to enhance call verification and fraud detection.
5. The computing platform of claim 1 , wherein the memory stores additional computer-readable instructions that, when executed by the at least one processor, cause the computing platform to: identify a number and type of questions to ask the first user based on the call security score, wherein the number of questions is greater and the type of questions are more detailed as the call security score is lower; and transmit, via the communication interface, the questions to the call handling system.
This invention relates to a computing platform for enhancing call security by dynamically adjusting authentication protocols based on risk assessment. The system evaluates incoming calls to determine a call security score, which quantifies the likelihood of fraud or unauthorized access. The platform then tailors the authentication process by identifying a set of questions to present to the caller, with the number and complexity of questions increasing as the call security score decreases. For example, a low security score triggers a higher volume of detailed questions, while a high score may result in minimal or no additional verification. The questions are transmitted to a call handling system, which interacts with the caller to verify identity. This adaptive approach balances security and user experience by escalating scrutiny only when necessary, reducing friction for legitimate callers while mitigating risks from suspicious calls. The system leverages real-time risk assessment to dynamically adjust authentication requirements, improving fraud detection without compromising usability.
6. The computing platform of claim 5 , wherein the memory stores additional computer-readable instructions that, when executed by the at least one processor, cause the computing platform to: based on the call security score, generate a command configured to allow the first user to access other systems when the questions are answered correctly; and transmit, via the communication interface, the command to the call handling system.
This invention relates to a computing platform for enhancing call security in communication systems. The system addresses the problem of unauthorized access to sensitive systems by implementing a multi-factor authentication process during call interactions. The platform evaluates the security risk of a call by analyzing various factors, such as caller identity, call metadata, and behavioral patterns, to generate a call security score. If the score indicates a potential security risk, the system prompts the caller to answer predefined security questions. When the caller answers correctly, the platform generates a command to grant access to other systems and transmits this command to the call handling system, enabling secure and controlled access. The system ensures that only authenticated users can proceed to access additional systems, thereby mitigating unauthorized access risks. The platform integrates with existing call handling systems to provide real-time security validation, improving overall system security without disrupting legitimate user access.
7. The computing platform of claim 1 , wherein the at least one call authentication computing platform comprises a machine learning system that uses predetermined rules to evaluate security features of the first telephone call.
A computing platform is designed to enhance call authentication by analyzing security features of telephone calls. The system includes a machine learning component that evaluates call characteristics using predefined rules to determine authenticity. The machine learning system processes security features such as call metadata, audio patterns, or behavioral indicators to detect anomalies or fraudulent activity. By applying these rules, the system can identify suspicious calls and mitigate risks like spoofing or unauthorized access. The platform integrates with telecommunication networks to monitor and verify call legitimacy in real-time, improving security for both users and service providers. The machine learning model is trained to adapt to evolving threats, ensuring robust protection against fraudulent calls. This approach enhances traditional authentication methods by leveraging automated analysis and predictive capabilities to assess call integrity. The system may also include additional components for call routing, logging, or alerting based on the authentication results. The overall solution aims to reduce fraud, improve trust in telecommunication services, and provide a scalable security framework for call verification.
8. The computing platform of claim 1 , wherein the first data includes information related to whether the first user computing device comprises a mobile device or a landline.
Technical Summary: This invention relates to computing platforms that analyze user device characteristics to enhance communication services. The problem addressed is the need to identify and utilize device-specific information to improve service delivery, such as routing calls or optimizing data transmission based on device type. The computing platform processes data from user devices to determine whether a device is a mobile device or a landline. This classification is used to tailor services, such as adjusting call routing, prioritizing network resources, or enabling device-specific features. The platform may also integrate this information with other user or device data to refine service logic. The system includes components for collecting, storing, and analyzing device data, ensuring accurate classification of mobile versus landline devices. The platform may further apply this classification to optimize communication protocols, reduce latency, or enhance security measures based on device capabilities. By distinguishing between mobile and landline devices, the platform enables more efficient and adaptive service delivery, improving user experience and system performance. This approach is particularly useful in telecommunication networks, cloud services, or IoT environments where device context plays a critical role in service optimization.
9. The computing platform of claim 1 , wherein the first data includes information related to whether the first user computing device was roaming when the first telephone call was made.
A computing platform monitors and analyzes telecommunication data to enhance network performance and user experience. The system collects and processes call-related information, including whether a user device was roaming during a call. This data helps identify network issues, optimize routing, and improve service quality. The platform may also track call duration, signal strength, and other metrics to assess network reliability. By determining roaming status, the system can distinguish between local and roaming calls, which is critical for billing, network load balancing, and troubleshooting. The platform may integrate with telecom infrastructure to retrieve real-time or historical call records, ensuring accurate analysis. This capability supports carriers in reducing costs, improving coverage, and enhancing customer satisfaction by addressing roaming-related inefficiencies. The system may also correlate roaming data with other factors like location, time, and device type to provide deeper insights into network performance. The platform's ability to process roaming information enables better decision-making for network optimization and service provisioning.
10. The computing platform of claim 1 , wherein determining the call security score comprises comparing the call fingerprint and the at least one call security response to an expected call fingerprint and expected call security response.
This invention relates to computing platforms that analyze call security by comparing call fingerprints and security responses to expected values. The system monitors incoming calls to detect potential security threats, such as fraud or unauthorized access. A call fingerprint is generated based on call metadata, including caller ID, call duration, and network characteristics. The system also evaluates security responses, such as authentication challenges or user interactions, to assess call legitimacy. By comparing these against predefined expected values, the system calculates a call security score, which quantifies the likelihood of a call being malicious. If the score exceeds a threshold, the system may block the call or trigger additional verification steps. The invention improves call security by automating threat detection and reducing reliance on manual verification. The computing platform integrates with telecommunication networks and security databases to maintain up-to-date threat intelligence. The comparison process involves pattern matching and anomaly detection to identify deviations from normal call behavior. This approach enhances fraud prevention in voice communications, particularly in sectors like banking and customer service where call-based attacks are common. The system may also log and analyze historical call data to refine detection algorithms over time.
11. The computing platform of claim 1 , wherein the memory stores additional computer-readable instructions that, when executed by the at least one processor, cause the computing platform to: based on the call security score, route the first telephone call to one of a plurality of agents in communication with the call handling system.
This invention relates to a computing platform for handling telephone calls, particularly focusing on routing calls based on security assessments. The system evaluates incoming calls to determine a call security score, which quantifies the likelihood of the call being fraudulent or malicious. The platform then uses this score to route the call to an appropriate agent within a call handling system. The routing decision ensures that high-risk calls are directed to agents with specialized training or tools to handle security threats, while lower-risk calls are routed to general agents for standard processing. This approach improves call center efficiency by optimizing resource allocation and reducing exposure to fraudulent activities. The system may also integrate with existing call handling infrastructure, allowing seamless deployment without significant modifications to the underlying telephony network. The invention addresses the problem of increasing fraudulent call volumes in contact centers, which can lead to financial losses and reputational damage. By dynamically assessing call risk and routing accordingly, the system enhances security while maintaining operational efficiency.
12. The computing platform of claim 11 , wherein the memory stores additional computer-readable instructions that, when executed by the at least one processor, cause the computing platform to: generate a warning message to be transmitted to the call handling system; transmit, via the communication interface, the warning message to the call handling system; and cause the call handling system to adjust how the first telephone call is handled.
This invention relates to a computing platform for managing telephone calls, particularly in scenarios where a call handling system may need to adjust call processing based on detected conditions. The system includes at least one processor and a memory storing computer-readable instructions. When executed, these instructions enable the platform to generate a warning message in response to specific conditions, such as potential fraud, suspicious activity, or other anomalies detected during a call. The platform then transmits this warning message to the call handling system via a communication interface. Upon receiving the warning, the call handling system adjusts how the call is handled, which may include routing the call to a different destination, flagging it for review, or terminating the call entirely. The system ensures real-time intervention to mitigate risks or improve call management efficiency. The computing platform operates as part of a larger call processing infrastructure, integrating with existing telephony systems to enhance security and operational control. The invention addresses the need for automated, responsive call management to prevent fraud, improve customer service, or enforce compliance with communication policies.
13. A method, comprising: at a computing platform comprising at least one processor, memory, and a communication interface: receiving, via the communication interface, first data associated with a first telephone call made from a first user computing device; analyzing the first data to generate a call fingerprint for the first telephone call; establishing, via the communication interface, a connection to at least one call authentication computing platform; with the connection established, transmitting the call fingerprint to the at least one call authentication computing platform; with the connection established, receiving at least one call security response from the at least one call authentication computing platform, wherein the at least one call security response comprises data including an identification of a first user of the first user computing device and a record of any previous calls made from the first user computing device; based on the call fingerprint and the at least one call security response, determining a call security score for the first telephone call made by the first user computing device; generating a first notification of the call security score to a call handling system; and transmitting, via the communication interface, the first notification to the call handling system.
This invention relates to call authentication and fraud detection in telecommunications. The problem addressed is the difficulty in verifying the legitimacy of telephone calls, particularly to prevent fraud, spoofing, or unauthorized use of user devices. The method involves analyzing call data to generate a unique call fingerprint, which is then transmitted to an authentication platform for verification. The authentication platform compares the fingerprint against stored records to identify the caller and check for suspicious patterns, such as previous fraudulent calls from the same device. A call security score is calculated based on this analysis, reflecting the likelihood of the call being legitimate. This score is then sent to a call handling system, which can use it to determine whether to accept, flag, or block the call. The system enhances security by leveraging real-time call data and historical records to assess risk dynamically. The method is implemented on a computing platform with processing, memory, and communication capabilities, ensuring seamless integration with existing telecommunication infrastructure. The solution aims to improve call authentication accuracy and reduce fraudulent activity in telephony systems.
14. The method of claim 13 , further comprising: identifying a number and type of questions to ask the first user based on the call security score, wherein the number of questions is greater and the type of questions are more detailed as the call security score is lower; and transmitting, via the communication interface, the questions to the call handling system.
This invention relates to call security verification systems that assess the risk level of a call and dynamically adjust the authentication process based on the assessed risk. The system evaluates a call between a first user and a second user to generate a call security score, which quantifies the likelihood of the call being fraudulent or unauthorized. The system then determines the number and complexity of authentication questions to present to the first user based on this score. If the call security score is low, indicating higher risk, the system increases the number of questions and makes them more detailed to verify the user's identity. Conversely, if the score is high, indicating lower risk, fewer or simpler questions may be used. The questions are transmitted to a call handling system, which interacts with the first user to complete the authentication process. This adaptive approach balances security and user convenience by tailoring the verification process to the assessed risk level of each call.
15. The method of claim 14 , further comprising: based on the call security score, generating a command configured to allow the first user to access other systems when the questions are answered correctly; and transmitting, via the communication interface, the command to the call handling system.
This invention relates to a system for enhancing call security by verifying user identity through interactive questioning. The system addresses the problem of unauthorized access to sensitive systems by ensuring that callers are authenticated before granting access to additional systems. The method involves receiving a call from a first user at a call handling system, which then initiates an authentication process. The system generates a set of questions based on predefined criteria, such as personal information or security protocols, and presents these questions to the caller. The caller's responses are evaluated to determine a call security score, which quantifies the likelihood of the caller being the legitimate user. If the questions are answered correctly, the system generates a command to grant the caller access to other systems. This command is then transmitted to the call handling system, enabling the user to proceed with accessing additional resources. The method ensures secure and controlled access to sensitive systems by dynamically verifying user identity through interactive questioning.
16. The method of claim 13 , wherein determining the call security score comprises comparing the call fingerprint and the at least one call security response to an expected call fingerprint and expected call security response.
This invention relates to call security verification, specifically a method for assessing the legitimacy of a call by comparing call characteristics and security responses against expected values. The method involves generating a call fingerprint, which is a unique representation of call attributes such as audio patterns, metadata, or network behavior. Additionally, the system collects at least one call security response, which may include user interactions, authentication prompts, or other security-related inputs. To determine a call security score, the method compares the generated call fingerprint and security responses against predefined expected values. If the generated values match or closely align with the expected values, the call is deemed legitimate, while discrepancies may indicate fraudulent or spoofed calls. This approach enhances call authentication by cross-referencing multiple security indicators, reducing the risk of unauthorized access or deception. The system may also integrate with existing telecommunication networks or security frameworks to provide real-time verification. The method is particularly useful in preventing phone scams, phishing attempts, and other malicious call-based attacks.
17. The method of claim 13 , further comprising: based on the call security score, routing the first telephone call to one of a plurality of agents in communication with the call handling system.
This invention relates to call handling systems that assess the security risk of incoming telephone calls and route them based on the assessed risk. The system analyzes call metadata, such as caller ID, call duration, and network characteristics, to generate a call security score indicating the likelihood of the call being fraudulent or malicious. The system then uses this score to determine the appropriate handling of the call, including routing it to a specific agent or group of agents trained to handle high-risk calls. The routing decision may involve prioritizing the call, directing it to a specialized security team, or flagging it for further investigation. The system may also integrate with existing call management platforms to enhance security without disrupting normal call flow. The invention aims to improve call center security by dynamically assessing and responding to potential threats in real time, reducing the risk of fraud, phishing, or other malicious activities. The system can be applied in various industries, including banking, healthcare, and customer service, where secure call handling is critical.
18. The method of claim 17 , further comprising: generating a warning message to be transmitted to the call handling system; transmitting, via the communication interface, the warning message to the call handling system; and causing the call handling system to adjust how the first telephone call is handled.
This invention relates to call handling systems, specifically methods for dynamically adjusting call processing based on detected conditions. The problem addressed is the need for real-time intervention in call handling to improve service quality, security, or efficiency when specific events or conditions are identified during a call. The method involves monitoring a first telephone call between a caller and a call handling system, such as a customer service center or emergency response system. During the call, the system detects a predefined condition, such as suspicious activity, call quality degradation, or a need for priority handling. In response, the system generates a warning message containing details about the detected condition. This message is transmitted to the call handling system via a communication interface, which may include network protocols or direct system integration. Upon receiving the warning, the call handling system adjusts how the call is processed. Adjustments may include rerouting the call to a specialized agent, escalating priority, terminating the call, or triggering additional security measures. The method ensures that call handling adapts dynamically to real-time conditions, enhancing operational responsiveness.
19. The method of claim 13 , further comprising: identifying whether the first telephone call was made from a mobile phone or landline, a location from which the first telephone call was made, and a phone number from which the first telephone call was made; and setting an initial call security level based on the identifying.
This invention relates to telecommunications security, specifically methods for enhancing call authentication and fraud detection by analyzing call metadata. The problem addressed is the vulnerability of telephone systems to fraudulent calls, such as spoofing or unauthorized access, which can bypass traditional security measures. The method involves analyzing a first telephone call to determine key metadata, including whether the call originated from a mobile phone or landline, the geographic location of the caller, and the phone number used. This metadata is then used to set an initial call security level, which can influence subsequent authentication steps or fraud detection processes. For example, calls from certain locations or using specific phone numbers may be flagged for higher scrutiny, while others may be granted lower security levels based on historical data or risk profiles. The system may also integrate with other security measures, such as caller ID verification or behavioral analysis, to further refine the security assessment. By dynamically adjusting security protocols based on call metadata, the invention aims to improve fraud detection accuracy and reduce false positives in call authentication systems. This approach helps mitigate risks associated with unauthorized callers while maintaining legitimate call flow efficiency.
20. One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, memory, and a communication interface, cause the computing platform to: receive, via the communication interface, first data associated with a first telephone call made from a first user computing device; analyze the first data to generate a call fingerprint for the first telephone call; establish, via the communication interface, a connection to at least one call authentication computing platform; with the connection established, transmit the call fingerprint to the at least one call authentication computing platform; with the connection established, receive at least one call security response from the at least one call authentication computing platform, wherein the at least one call security response comprises data including an identification of a first user of the first user computing device and a record of any previous calls made from the first user computing device; based on the call fingerprint and the at least one call security response, determine a call security score for the first telephone call made by the first user computing device; generate a first notification of the call security score to a call handling system; and transmit, via the communication interface, the first notification to the call handling system.
This invention relates to a system for authenticating telephone calls by analyzing call data to detect fraudulent or suspicious activity. The system receives data from a telephone call made by a user device, such as metadata, audio signatures, or network information, and processes this data to generate a unique call fingerprint. The fingerprint is transmitted to an authentication platform, which compares it against stored records of previous calls from the same device or user. The authentication platform returns a response containing user identification details and a history of prior calls. The system then evaluates the call fingerprint alongside the authentication response to compute a call security score, which quantifies the likelihood of the call being legitimate. This score is sent to a call handling system, which can use it to determine whether to accept, flag, or block the call. The system helps prevent fraud, spoofing, and unauthorized call activity by leveraging call behavior analysis and historical data. The authentication platform may be a centralized service or a distributed network, and the call handling system could be a telecom provider, a call center, or a fraud detection service. The invention improves call security by dynamically assessing call legitimacy in real time.
Unknown
October 1, 2019
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